Project description
A new platform to help prevent terrorist attacks
Radicalisation leading to terrorism is not a new phenomenon. Responses, however, need to be constantly adapted to meet the evolving trends, means and patterns of radicalisation. In this context, the EU-funded CounteR project will develop a frontline community policing tool aimed at countering radicalisation in Europe. It will draw data from disperse sources into an analysis and early alert platform for data mining and prediction of critical areas such as communities. It will make use of the latest natural language processing technologies. The findings will help practitioners address propaganda with effective counternarratives. The CounteR solution will support information sharing between law enforcement agencies and collaboration between agencies by providing an open platform.
Objective
In order to support the fight against radicalization and thus prevent future terrorist attacks from taking place, the CounteR project will bring data from disperse sources into an analysis and early alert platform for data mining and prediction of critical areas (e.g. communities), aiming to be a frontline community policing tool which looks at the community and its related risk factors rather than targeting and surveilling individuals. This is a key point in ensuring the privacy of citizens and the protection of their personal data, an issue that has been of great concern to policymakers and LEAs alike, who must balance the important work they do with the need to protect innocent individuals.
The system will incorporate state of the art NLP technologies combined with expert knowledge into the psychology of radicalization processes to provide a complete solution for LEAs to understand the when, where and why of radicalization in the community to help combat propaganda, fundraising, recruitment and mobilization, networking, information sharing, planning/coordination, data manipulation and misinformation. Information gained by the system will also allow LEAs and other community stakeholders to implement prevention programs and employ counternarratives rather than relying solely on surveillance.
The CounteR solution will cover a wide range of information sources, both dynamic (e.g. social media) and offline (e.g. open data sources) and combined with world-renowned expertise in radicalization processes and their psychology. The CounteR solution will allow LEAs to take coordinated action in real-time while also preserving the privacy of citizens, as the system will target hotspots of radicalization rather than individuals.
In addition, the CounteR solution will support information sharing between European LEAs and foster collaboration between diverse agencies by providing an open platform which prioritizes harmonized information formats.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. This project's classification has been validated by the project's team.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. This project's classification has been validated by the project's team.
Keywords
Programme(s)
- H2020-EU.3.7. - Secure societies - Protecting freedom and security of Europe and its citizens Main Programme
- H2020-EU.3.7.1. - Fight crime, illegal trafficking and terrorism, including understanding and tackling terrorist ideas and beliefs
- H2020-EU.3.7.8. - Support the Union's external security policies including through conflict prevention and peace-building
Call for proposal
(opens in new window) H2020-SU-SEC-2018-2019-2020
See other projects for this callSub call
H2020-SU-SEC-2020
Funding Scheme
RIA - Research and Innovation actionCoordinator
720043 Suceava
Romania
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.